PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (305 utterances, 1,227 words searched).

  1. it was interesting . MEL · eng_USA_Brown/sarah104.cha, line 397 · Sarah 4;04
  2. …er out a little bit too soon but she couldn't think, I forget what it was about # but she couldn't think whether to say +"/. MEL · eng_USA_Brown/sarah104.cha, line 399 · Sarah 4;04
  3. she was saying are ["] for a plural thing and then she sort of went +"/. MEL · eng_USA_Brown/sarah104.cha, line 407 · Sarah 4;04
  4. was that magic ? FAT · eng_USA_Brown/sarah104.cha, line 971 · Sarah 4;04
  5. easy now (be)cause he was sick # so +... MOT · eng_USA_Brown/sarah104.cha, line 1359 · Sarah 4;04
  1. CHInow I'm getting my alphabet .
    CHIit's in my drawer .
    MEL*MEL: it was interesting .
    MELI don't know if you heard it before (be)cause I think I drowned her out a little bit too soon but she couldn't think, I forget what it was about # but she couldn't think whether to say +"/.
    MEL+" is .
  2. CHIit's in my drawer .
    MELit was interesting .
    MEL*MEL: I don't know if you heard it before (be)cause I think I drowned her out a little bit too soon but she couldn't think, I forget what it was about # but she couldn't think whether to say +"/.
    MEL+" is .
    MELshe was saying are ["] for a plural thing and then she sort of went +"/.
  3. MELI don't know if you heard it before (be)cause I think I drowned her out a little bit too soon but she couldn't think, I forget what it was about # but she couldn't think whether to say +"/.
    MEL+" is .
    MEL*MEL: she was saying are ["] for a plural thing and then she sort of went +"/.
    MEL+" aah # is .
    CHInow I got it .
  4. MOTwatch it # you'll # kill yourself .
    MOTc(o)me (h)ere .
    FAT*FAT: was that magic ?
    CHIyeah .
    CHI<let me> [//] le(t) me see that spot ya did .
  5. FATwhat happens if he don't come back ?
    FAThuh ?
    MOT*MOT: easy now (be)cause he was sick # so +...
    CHIxxx .
    CHII'm gonna get another one .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown4.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah104.chaSarah 4;4.111,227554.07

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. was5 · 100.0%